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IEEE/ACM Trans. Netw. 01/2012; 20:271-284.
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IEEE Trans. Mob. Comput. 01/2012; 11:61-72.
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IEEE Communications Surveys and Tutorials. 01/2011; 13:245-257.
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Wireless Networks. 01/2011; 17:1543-1560.
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Pervasive and Mobile Computing. 01/2011; 7:414-415.
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IEEE/ACM Trans. Netw. 01/2011; 19:1208-1222.
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IEEE Trans. Mob. Comput. 01/2011; 10:700-715.
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IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, MASS 2011, Valencia, Spain, October 17-22, 2011; 01/2011
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IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, MASS 2011, Valencia, Spain, October 17-22, 2011; 01/2011
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Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2011, June 27-30, 2011, Salt Lake City, UT, USA; 01/2011
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IEEE Transactions on Wireless Communications. 01/2010; 9:3258-3271.
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IEEE/ACM Trans. Netw. 01/2010; 18:722-735.
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IEEE/ACM Trans. Netw. 01/2010; 18:243-256.
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Proceedings of the Seventh Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2010, June 21-25, 2010, Boston, Massachusetts, USA; 01/2010
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2010 IEEE Wireless Communications and Networking Conference, WCNC 2010, Proceedings, Sydney, Australia, 18-21 April 2010; 01/2010
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Proceedings of the 2010 ACM Conference on Emerging Networking Experiments and Technology, CoNEXT 2010, Philadelphia, PA, USA, November 30 - December 03, 2010; 01/2010
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2010 International Conference on Distributed Computing Systems, ICDCS 2010, Genova, Italy, June 21-25, 2010; 01/2010
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[show abstract]
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ABSTRACT: Dense, unmanaged 802.11 deployments tempt saboteurs into launching jamming attacks by injecting malicious interference. Nowadays, jammers can be portable devices that transmit intermittently at low power in order to conserve energy. In this paper, we first conduct extensive experiments on an indoor 802.11 network to assess the ability of two physical layer functions, rate adaptation and power control, in mitigating jamming. In the presence of a jammer we find that: (a) the use of popular rate adaptation algorithms can significantly degrade network performance and, (b) appropriate tuning of the carrier sensing threshold allows a transmitter to send packets even when being jammed and enables a receiver capture the desired signal. Based on our findings, we build ARES, an Anti-jamming REinforcement System, which tunes the parameters of rate adaptation and power control to improve the performance in the presence of jammers. ARES ensures that operations under benign conditions are unaffected. To demonstrate the effectiveness and generality of ARES, we evaluate it in three wireless testbeds: (a) an 802.11n WLAN with MIMO nodes, (b) an 802.11a/g mesh network with mobile jammers and (c) an 802.11a WLAN. We observe that ARES improves the network throughput across all testbeds by up to 150%. Comment: 16 pages, full version of a submitted work to CoNext 2009 conference
06/2009;
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IEEE Transactions on Mobile Computing. 01/2009; 8(5):590-605.
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IEEE/ACM Trans. Netw. 01/2009; 17:391-404.
